Fred H. Hamker

According to our database, Fred H. Hamker authored at least 63 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Re-Thinking the Organization of Cortico-Basal Ganglia-Thalamo-Cortical Loops.

Javier Baladron, Fred H. Hamker

Cogn. Comput., September, 2024

A Brain-Inspired Model of Reaching and Adaptation on the iCub Robot.

Torsten Fietzek, Christoph Ruff, Fred H. Hamker

Proceedings of the IEEE International Symposium on Robotic and Sensors Environments, 2024

Robustness of Biologically Grounded Neural Networks Against Image Perturbations.

Michael Teichmann, René Larisch, Fred H. Hamker

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

A large-scale neurocomputational model of spatial cognition integrating memory with vision.

Micha Burkhardt, Julia Bergelt, Lorenz Gönner, Helge Ulo Dinkelbach, Frederik Beuth, Alex Schwarz, Andrej Bicanski, Neil Burgess, Fred H. Hamker

Neural Networks, October, 2023

Correction: The contribution of the basal ganglia and cerebellum to motor learning: A neuro-computational approach.

Javier Baladron, Julien Vitay, Torsten Fietzek, Fred H. Hamker

PLoS Comput. Biol., 2023

The contribution of the basal ganglia and cerebellum to motor learning: A neuro-computational approach.

Javier Baladron, Julien Vitay, Torsten Fietzek, Fred H. Hamker

PLoS Comput. Biol., 2023

Detecting Anomalies in System Logs With a Compact Convolutional Transformer.

René Larisch, Julien Vitay, Fred H. Hamker

IEEE Access, 2023

Exploring the Role of Feedback Inhibition for the Robustness Against Corruptions on Event-Based Data.

René Larisch, Lucien Berger, Fred H. Hamker

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

2022

BOLD Monitoring in the Neural Simulator ANNarchy.

Oliver Maith, Helge Ulo Dinkelbach, Javier Baladron, Julien Vitay, Fred H. Hamker

Frontiers Neuroinformatics, 2022

Auto-Selection of an Optimal Sparse Matrix Format in the Neuro-Simulator ANNarchy.

Helge Ulo Dinkelbach, Badr-Eddine Bouhlal, Julien Vitay, Fred H. Hamker

Frontiers Neuroinformatics, 2022

Deep Neural Networks for Geometric Shape Deformation.

Aida Farahani, Julien Vitay, Fred H. Hamker

Proceedings of the KI 2022: Advances in Artificial Intelligence, 2022

ANNarchy - iCub: An Interface for Easy Interaction between Neural Network Models and the iCub Robot.

Torsten Fietzek, Helge Ulo Dinkelbach, Fred H. Hamker

Proceedings of the IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2022

2021

Sensory coding and contrast invariance emerge from the control of plastic inhibition over emergent selectivity.

René Larisch, Lorenz Gönner, Michael Teichmann, Fred H. Hamker

PLoS Comput. Biol., 2021

Performance of biologically grounded models of the early visual system on standard object recognition tasks.

Michael Teichmann, René Larisch, Fred H. Hamker

Neural Networks, 2021

Optimal attention tuning in a neuro-computational model of the visual cortex-basal ganglia-prefrontal cortex loop.

Oliver Maith, Alex Schwarz, Fred H. Hamker

Neural Networks, 2021

2020

A Humanoid Robot Learns to Recover Perturbation During Swinging Motion.

Tran Duy Hoa, Fred H. Hamker, John Nassour

IEEE Trans. Syst. Man Cybern. Syst., 2020

Concrete Action Representation Model: From Neuroscience to Robotics.

John Nassour, Tran Duy Hoa, Payam Atoofi, Fred H. Hamker

IEEE Trans. Cogn. Dev. Syst., 2020

Monocular 3D Object Detection Using Feature Map Transformation: Towards Learning Perspective-Invariant Scene Representations.

Enrico Schröder, Mirko Mählisch, Julien Vitay, Fred H. Hamker

Proceedings of the Fourth IEEE International Conference on Robotic Computing, 2020

2019

Enfolded Textile Actuator for Soft Wearable Robots.

John Nassour, Fred H. Hamker

Proceedings of the 2019 IEEE International Conference on Cyborg and Bionic Systems, 2019

2018

Learning of Central Pattern Generator Coordination in Robot Drawing.

Payam Atoofi, Fred H. Hamker, John Nassour

Frontiers Neurorobotics, 2018

Gait Transition Between Simple and Complex Locomotion in Humanoid Robots.

Sidhdharthkumar Vaghani, Yuxiang Pan, Fred H. Hamker, John Nassour

Proceedings of the From Animals to Animats 15, 2018

Design of new Sensory Soft Hand: Combining air-pump actuation with superimposed curvature and pressure sensors.

John Nassour, Vishal Ghadiya, Vincent Hugel, Fred H. Hamker

Proceedings of the IEEE International Conference on Soft Robotics, 2018

A Neural Spiking Approach Compared to Deep Feedforward Networks on Stepwise Pixel Erasement.

René Larisch, Michael Teichmann, Fred H. Hamker

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Humanoid Robot Grasping with a Soft Gripper Through a Learned Inverse Model of a Central Pattern Generator and Tactile Servoing.

Yuxiang Pan, Fred H. Hamker, John Nassour

Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

Motor Program Learning for Humanoid Robot Drawing.

Deepanshu Makkar, Payam Atoofi, Fred H. Hamker, John N. Nassour

Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

2017

Predictive Place-Cell Sequences for Goal-Finding Emerge from Goal Memory and the Cognitive Map: A Computational Model.

Lorenz Gönner, Julien Vitay, Fred H. Hamker

Frontiers Comput. Neurosci., 2017

Training a deep policy gradient-based neural network with asynchronous learners on a simulated robotic problem.

Winfried Lötzsch, Julien Vitay, Fred H. Hamker

Proceedings of the 47. Jahrestagung der Gesellschaft für Informatik, 2017

2016

Suppression of displacement detection in the presence and absence of eye movements: a neuro-computational perspective.

Julia Bergelt, Fred H. Hamker

Biol. Cybern., 2016

Fast and Slow Learning in a Neuro-Computational Model of Category Acquisition.

Francesc Villagrasa, Javier Baladron, Fred H. Hamker

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

The Performance of a Biologically Plausible Model of Visual Attention to Localize Objects in a Virtual Reality.

Amirhossein Jamalian, Frederik Beuth, Fred H. Hamker

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015

A spiking neural network based on the basal ganglia functional anatomy.

Javier Baladron, Fred H. Hamker

Neural Networks, 2015

Differential contributions of the globus pallidus and ventral thalamus to stimulus-response learning in humans.

Henning Schroll, Andreas Horn, Christine Gröschel, Christof Brücke, Götz Lütjens, Gerd-Helge Schneider, Joachim K. Krauss, Andrea A. Kühn, Fred H. Hamker

NeuroImage, 2015

Spatial Cognition of Humans and Brain-inspired Artificial Agents.

Fred H. Hamker

Künstliche Intell., 2015

Human Capacities for Emotion Recognition and their Implications for Computer Vision.

Benny Liebold, René Richter, Michael Teichmann, Fred H. Hamker, Peter Ohler

i-com, 2015

ANNarchy: a code generation approach to neural simulations on parallel hardware.

Julien Vitay, Helge U. Dinkelbach, Fred H. Hamker

Frontiers Neuroinformatics, 2015

Competition improves robustness against loss of information.

Arash Kermani Kolankeh, Michael Teichmann, Fred H. Hamker

Frontiers Comput. Neurosci., 2015

2014

A Hierarchical System for a Distributed Representation of the Peripersonal Space of a Humanoid Robot.

Marco Antonelli, Agostino Gibaldi, Frederik Beuth, Angel Juan Duran, Andrea Canessa, Manuela Chessa, Fabio Solari, Angel P. del Pobil, Fred H. Hamker, Eris Chinellato, Silvio P. Sabatini

IEEE Trans. Auton. Ment. Dev., 2014

Timing and expectation of reward: a neuro-computational model of the afferents to the ventral tegmental area.

Julien Vitay, Fred H. Hamker

Frontiers Neurorobotics, 2014

Brain circuits underlying visual stability across eye movements - converging evidence for a neuro-computational model of area LIP.

Arnold Ziesche, Fred H. Hamker

Frontiers Comput. Neurosci., 2014

How Visual Attention and Suppression Facilitate Object Recognition?

Frederik Beuth, Amirhossein Jamalian, Fred H. Hamker

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2012

Working memory and response selection: A computational account of interactions among cortico-basalganglio-thalamic loops.

Henning Schroll, Julien Vitay, Fred H. Hamker

Neural Networks, 2012

Learning Invariance from Natural Images Inspired by Observations in the Primary Visual Cortex.

Michael Teichmann, Jan Wiltschut, Fred H. Hamker

Neural Comput., 2012

Neural Learning of Cognitive Control.

Fred H. Hamker

Künstliche Intell., 2012

2011

A Neuroscientific View on the Role of Emotions in Behaving Cognitive Agents.

Julien Vitay, Fred H. Hamker

Künstliche Intell., 2011

2010

A computational model of basal ganglia and its role in memory retrieval in rewarded visual memory tasks.

Julien Vitay, Fred H. Hamker

Frontiers Comput. Neurosci., 2010

2009

Biological Models of Reinforcement Learning.

Julien Vitay, Jérémy Fix, Fred H. Hamker, Henning Schroll, Frederik Beuth

Künstliche Intell., 2009

2008

The Peri-Saccadic Perception of Objects and Space.

Fred H. Hamker, Marc Zirnsak, Dirk Calow, Markus Lappe

PLoS Comput. Biol., 2008

Sustained Activities and Retrieval in a Computational Model of the Perirhinal Cortex.

Julien Vitay, Fred H. Hamker

J. Cogn. Neurosci., 2008

2007

On the Role of Dopamine in Cognitive Vision.

Julien Vitay, Fred H. Hamker

Proceedings of the Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint, 2007

2006

V4 receptive field dynamics as predicted by a systems-level model of visual attention using feedback from the frontal eye field.

Fred H. Hamker, Marc Zirnsak

Neural Networks, 2006

2005

The emergence of attention by population-based inference and its role in distributed processing and cognitive control of vision.

Fred H. Hamker

Comput. Vis. Image Underst., 2005

A Population-Based Inference Framework for Feature-Based Attention in Natural Scenes.

Fred H. Hamker

Proceedings of the Brain, 2005

2004

Predictions of a model of spatial attention using sum- and max-pooling functions.

Fred H. Hamker

Neurocomputing, 2004

Modeling Attention: From Computational Neuroscience to Computer Vision.

Fred H. Hamker

Proceedings of the Attention and Performance in Computational Vision, 2004

2002

Object Detection in Natural Scenes by Feedback.

Fred H. Hamker, James Worcester

Proceedings of the Biologically Motivated Computer Vision Second International Workshop, 2002

2001

Life-long learning Cell Structures--continuously learning without catastrophic interference.

Fred H. Hamker

Neural Networks, 2001

2000

Visuelle Aufmerksamkeit und lebenslanges Lernen im Wahrnehmungs-Handlungs-Zyklus.

Fred H. Hamker

Künstliche Intell., 2000

About the Analysis of Septic Shock Patient Data.

Jürgen Paetz, Fred H. Hamker, Sven Thöne

Proceedings of the Medical Data Analysis, First International Symposium, 2000

1999

Visuelle Aufmerksamkeit und lebenslanges Lernen im Wahrnehmungs-Handlungs-Zyklus.

Fred Henrik Hamker

PhD thesis, 1999

1998

Comparing neural networks: a benchmark on growing neural gas, growing cell structures, and fuzzy ARTMAP.

Dietmar Heinke, Fred H. Hamker

IEEE Trans. Neural Networks, 1998

1997

Object Selection with Dynamic Neural Maps.

Fred Henrik Hamker, Horst-Michael Gross

Proceedings of the Artificial Neural Networks, 1997

1996

Task-relevant relaxation network for visuo-motory systems.

Fred Henrik Hamker, Horst-Michael Groß

Proceedings of the 13th International Conference on Pattern Recognition, 1996

Region selection: segmentation, classification and task relevance in a single grouping mechanism.

Fred Henrik Hamker, Horst-Michael Gross

Proceedings of International Conference on Neural Networks (ICNN'96), 1996